Using maximal systolic acceleration to diagnose and assess the severity of peripheral artery disease in a flow model study.
Arterial Pressure
Arteries
/ diagnostic imaging
Blood Flow Velocity
Constriction, Pathologic
Humans
Models, Anatomic
Models, Cardiovascular
Observer Variation
Peripheral Arterial Disease
/ diagnostic imaging
Predictive Value of Tests
Reproducibility of Results
Severity of Illness Index
Ultrasonography, Doppler, Duplex
Vascular Calcification
/ diagnostic imaging
Doppler duplex ultrasound
In vitro techniques
Peripheral arterial disease
Vascular calcification
Journal
Journal of vascular surgery
ISSN: 1097-6809
Titre abrégé: J Vasc Surg
Pays: United States
ID NLM: 8407742
Informations de publication
Date de publication:
01 2020
01 2020
Historique:
received:
06
08
2018
accepted:
11
01
2019
pubmed:
31
5
2019
medline:
17
6
2020
entrez:
1
6
2019
Statut:
ppublish
Résumé
Because of the presence of medial calcific sclerosis, both ankle-branchial index and toe pressure measures can yield misleading results when attempting to diagnose peripheral artery disease (PAD). A new ultrasound parameter, maximal systolic acceleration (ACC The human circulatory system was simulated using an in vitro circulatory system driven by a pulsatile pneumatic pump. Arterial stenosis of various degrees (50%, 70%, 80%, and 90%) was simulated in order to investigate the change in several ultrasound parameters (including ACC ACC The results of this flow model study suggest that ACC
Sections du résumé
BACKGROUND
Because of the presence of medial calcific sclerosis, both ankle-branchial index and toe pressure measures can yield misleading results when attempting to diagnose peripheral artery disease (PAD). A new ultrasound parameter, maximal systolic acceleration (ACC
METHODS
The human circulatory system was simulated using an in vitro circulatory system driven by a pulsatile pneumatic pump. Arterial stenosis of various degrees (50%, 70%, 80%, and 90%) was simulated in order to investigate the change in several ultrasound parameters (including ACC
RESULTS
ACC
CONCLUSIONS
The results of this flow model study suggest that ACC
Identifiants
pubmed: 31147131
pii: S0741-5214(19)30400-8
doi: 10.1016/j.jvs.2019.01.088
pii:
doi:
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
242-249Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2019 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.